/* ************************************************************************
 * Copyright 2018-2020 Advanced Micro Devices, Inc.
 * ************************************************************************ */

#include "cblas_interface.hpp"
#include "flops.hpp"
#include "norm.hpp"
#include "rocblas.hpp"
#include "rocblas_init.hpp"
#include "rocblas_math.hpp"
#include "rocblas_random.hpp"
#include "rocblas_test.hpp"
#include "rocblas_vector.hpp"
#include "unit.hpp"
#include "utility.hpp"

template <typename T, typename U = T>
void testing_scal_batched(const Arguments& arg)
{
    rocblas_int N           = arg.N;
    rocblas_int incx        = arg.incx;
    U           h_alpha     = arg.get_alpha<U>();
    rocblas_int batch_count = arg.batch_count;

    rocblas_local_handle handle;

    // argument sanity check before allocating invalid memory
    if(N < 0 || incx <= 0 || batch_count <= 0)
    {
        device_batch_vector<T> dx(1, 1, 1);
        CHECK_DEVICE_ALLOCATION(dx.memcheck());

        CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_host));
        EXPECT_ROCBLAS_STATUS((rocblas_scal_batched<T, U>)(handle,
                                                           N,
                                                           &h_alpha,
                                                           dx.ptr_on_device(),
                                                           incx,
                                                           batch_count),
                              batch_count < 0 ? rocblas_status_invalid_size
                                              : rocblas_status_success);
        return;
    }

    size_t size_x = N * size_t(incx);

    // Naming: dX is in GPU (device) memory. hK is in CPU (host) memory, plz follow this practice

    // Device-arrays of pointers to device memory
    device_batch_vector<T> dx_1(N, incx, batch_count);
    device_batch_vector<T> dx_2(N, incx, batch_count);
    device_vector<U>       d_alpha(1);
    CHECK_DEVICE_ALLOCATION(dx_1.memcheck());
    CHECK_DEVICE_ALLOCATION(dx_2.memcheck());
    CHECK_DEVICE_ALLOCATION(d_alpha.memcheck());

    // Host-arrays of pointers to host memory
    host_batch_vector<T> hx_1(N, incx, batch_count);
    host_batch_vector<T> hx_2(N, incx, batch_count);
    host_batch_vector<T> hx_gold(N, incx, batch_count);
    host_vector<U>       halpha(1);
    halpha[0] = h_alpha;

    // Initial Data on CPU
    rocblas_init(hx_1, true);
    hx_2.copy_from(hx_1);
    hx_gold.copy_from(hx_1);

    // copy data from CPU to device
    // 1. User intermediate arrays to access device memory from host
    CHECK_HIP_ERROR(dx_1.transfer_from(hx_1));

    double gpu_time_used, cpu_time_used;
    double rocblas_gflops, cblas_gflops, rocblas_bandwidth;
    double rocblas_error_1 = 0.0;
    double rocblas_error_2 = 0.0;

    if(arg.unit_check || arg.norm_check)
    {
        CHECK_HIP_ERROR(dx_2.transfer_from(hx_2));
        CHECK_HIP_ERROR(d_alpha.transfer_from(halpha));

        // GPU BLAS, rocblas_pointer_mode_host
        CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_host));
        CHECK_ROCBLAS_ERROR((rocblas_scal_batched<T, U>(
            handle, N, &h_alpha, dx_1.ptr_on_device(), incx, batch_count)));

        // GPU BLAS, rocblas_pointer_mode_device
        CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_device));
        CHECK_ROCBLAS_ERROR((rocblas_scal_batched<T, U>(
            handle, N, d_alpha, dx_2.ptr_on_device(), incx, batch_count)));

        // copy output from device to CPU
        CHECK_HIP_ERROR(hx_1.transfer_from(dx_1));
        CHECK_HIP_ERROR(hx_2.transfer_from(dx_2));

        // CPU BLAS
        cpu_time_used = get_time_us();
        for(int i = 0; i < batch_count; i++)
        {
            cblas_scal<T, U>(N, h_alpha, hx_gold[i], incx);
        }
        cpu_time_used = get_time_us() - cpu_time_used;
        cblas_gflops  = batch_count * scal_gflop_count<T, U>(N) / cpu_time_used * 1e6 * 1;

        if(arg.unit_check)
        {
            unit_check_general<T>(1, N, batch_count, incx, hx_gold, hx_1);
            unit_check_general<T>(1, N, batch_count, incx, hx_gold, hx_2);
        }

        if(arg.norm_check)
        {
            rocblas_error_1 = norm_check_general<T>('F', 1, N, incx, batch_count, hx_gold, hx_1);
            rocblas_error_2 = norm_check_general<T>('F', 1, N, incx, batch_count, hx_gold, hx_2);
        }

    } // end of if unit/norm check

    if(arg.timing)
    {
        int number_cold_calls = 2;
        int number_hot_calls  = 100;
        CHECK_ROCBLAS_ERROR(rocblas_set_pointer_mode(handle, rocblas_pointer_mode_host));

        for(int iter = 0; iter < number_cold_calls; iter++)
        {
            rocblas_scal_batched<T, U>(
                handle, N, &h_alpha, dx_1.ptr_on_device(), incx, batch_count);
        }

        gpu_time_used = get_time_us(); // in microseconds

        for(int iter = 0; iter < number_hot_calls; iter++)
        {
            rocblas_scal_batched<T, U>(
                handle, N, &h_alpha, dx_1.ptr_on_device(), incx, batch_count);
        }

        gpu_time_used     = (get_time_us() - gpu_time_used) / number_hot_calls;
        rocblas_gflops    = batch_count * scal_gflop_count<T, U>(N) / gpu_time_used * 1e6 * 1;
        rocblas_bandwidth = batch_count * (2.0 * N) * sizeof(T) / gpu_time_used / 1e3;

        std::cout << "N,alpha,incx,rocblas-Gflops,rocblas-GB/s,rocblas-us";

        if(arg.norm_check)
            std::cout << ",CPU-Gflops,norm_error_host_ptr,norm_error_device_ptr";

        std::cout << std::endl;

        std::cout << N << "," << h_alpha << "," << incx << "," << rocblas_gflops << ","
                  << rocblas_bandwidth << "," << gpu_time_used;

        if(arg.norm_check)
            std::cout << cblas_gflops << ',' << rocblas_error_1 << ',' << rocblas_error_2;

        std::cout << std::endl;
    }
}

template <typename T, typename U = T>
void testing_scal_batched_bad_arg(const Arguments& arg)
{
    rocblas_int N           = 100;
    rocblas_int incx        = 1;
    U           h_alpha     = U(1.0);
    rocblas_int batch_count = 5;

    rocblas_local_handle handle;

    size_t size_x = N * size_t(incx);

    // allocate memory on device
    device_batch_vector<T> dx(N, incx, batch_count);
    CHECK_DEVICE_ALLOCATION(dx.memcheck());

    EXPECT_ROCBLAS_STATUS(
        (rocblas_scal_batched<T, U>)(handle, N, nullptr, dx.ptr_on_device(), incx, batch_count),
        rocblas_status_invalid_pointer);
    EXPECT_ROCBLAS_STATUS(
        (rocblas_scal_batched<T, U>)(handle, N, &h_alpha, nullptr, incx, batch_count),
        rocblas_status_invalid_pointer);
}
